Triple

T24957192
Position Surface form Disambiguated ID Type / Status
Subject noisy-channel coding theorem E624507 entity
Predicate hasConverse P168882 FINISHED
Object strong converse for channel coding LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: strong converse for channel coding | Statement: [noisy-channel coding theorem, hasConverse, strong converse for channel coding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConverse
Context triple: [noisy-channel coding theorem, hasConverse, strong converse for channel coding]
  • A. hasDialogueIn
    Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
  • B. hasDialogueTrait
    Indicates that an entity possesses a specific characteristic or quality related to dialogue or conversational behavior.
  • C. canBeConvenedBy
    Indicates that an entity (such as a group, body, or meeting) may be formally brought together or assembled by a specified agent or authority.
  • D. canLiaiseWith
    Indicates that one entity is able or permitted to communicate and coordinate directly with another entity for collaboration or information exchange.
  • E. dialogueWith
    Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f67866e9248190b7ba218f9ca2ae8d completed May 2, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f675fd59608190b246383435e68fce completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 18, 2026, 5:58 a.m.